Afifi

Dr.-Ing. Ahmed J. Afifi

  • Hertzstraße 16
    Geb. 06.35
    76187 Karlsruhe

Publications


2023
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences
Afifi, A. J.; Thiele, S. T.; Rizaldy, A.; Lorenz, S.; Ghamisi, P.; Tolosana-Delgado, R.; Kirsch, M.; Gloaguen, R.; Heizmann, M.
2023. IEEE Transactions on Geoscience and Remote Sensing, 62, 1–15. doi:10.1109/TGRS.2023.3340293Full textFull text of the publication as PDF document
Multi-sensor data fusion using deep learning for bulky waste image classification
Bihler, M.; Roming, L.; Jiang, Y.; Afifi, A. J.; Aderhold, J.; Cibiraite-Lukenskiene, D.; Lorenz, S.; Gloaguen, R.; Gruna, R.; Heizmann, M.
2023. J. Beyerer & M. Heizmann (Eds.), Proceedings Volum 12623 SPI Optical Metrology. Automated Visual Inspection and Machine Vision V. Hrsg.: J. Beyerer, M. Heizmann, 126230B, SPIE. doi:10.1117/12.2673838
Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image
Yin, M.; Soomro, T. A.; Jandan, F. A.; Fatihi, A.; Ubaid, F. B.; Irfan, M.; Afifi, A. J.; Rahman, S.; Telenyk, S.; Nowakowski, G.
2023. IEEE Access, 11, 130451 – 130465. doi:10.1109/ACCESS.2023.3333364Full textFull text of the publication as PDF document
Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review
Soomro, T. A.; Zheng, L.; Afifi, A. J.; Ali, A.; Soomro, S.; Yin, M.; Gao, J.
2023. IEEE Reviews in Biomedical Engineering, 16, 70–90. doi:10.1109/RBME.2022.3185292
2022
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research
Soomro, T. A.; Zheng, L.; Afifi, A. J.; Ali, A.; Yin, M.; Gao, J.
2022. Artificial Intelligence Review, 55 (2), 1409–1439. doi:10.1007/s10462-021-09985-z
2021
Non‐Invasive Process for Analyzing Retinal Blood Vessels Using Deep Learning Techniques
Soomro, T. A.; Afifi, A. J.; Kumar, P.; Keerio, M. U.; Ahmed, S.; Ali, A.
2021. The Smart Cyber Ecosystem for Sustainable Development. Ed.: P. Kumar, 215–233. doi:10.1002/9781119761655.ch11
Synthesizing Fundus Photographies for Training Segmentation Networks
Magnusson, J. S.; Afifi, A. J.; Zhang, S.; Ley, A.; Hellwich, O.
2021. Proceedings of the 2nd International Conference on Deep Learning Theory and Applications. Vol.: 1. Ed.: A. Fred, 67–78, SciTePress. doi:10.5220/0010618100670078
Impact of Novel Image Preprocessing Techniques on Retinal Vessel Segmentation
Soomro, T. A.; Ali, A.; Jandan, N. A.; Afifi, A. J.; Irfan, M.; Alqhtani, S.; Glowacz, A.; Alqahtani, A.; Tadeusiewicz, R.; Kantoch, E.; Zheng, L.
2021. Electronics, 10 (18), Art.-Nr.: 2297. doi:10.3390/electronics10182297Full textFull text of the publication as PDF document
2020
Mini V-Net: Depth Estimation from Single Indoor-Outdoor Images using Strided-CNN
Afifi, A.; Hellwich, O.; Soomro, T.
2020. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Vol.: 5: VISAPP, 27-29. Februar, 2020 , Valletta, Malta, 205–214, SciTePress. doi:10.5220/0009356102050214
2019
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Zheng, L.; Paul, M.
2019. Expert Systems with Applications, 134, 36–52. doi:10.1016/j.eswa.2019.05.029
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation
Soomro, T. A.; Afifi, A. J.; Ali Shah, A.; Soomro, S.; Baloch, G. A.; Zheng, L.; Yin, M.; Gao, J.
2019. IEEE Access, 7, 158183–158197. doi:10.1109/ACCESS.2019.2950228Full textFull text of the publication as PDF document
Retinal Blood Vessels Extraction of Challenging Images
Soomro, T. A.; Gao, J.; Lihong, Z.; Afifi, A. J.; Soomro, S.; Paul, M.
2019. Data Mining – 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, Revised Selected Papers. Ed.: R. Islam, 347–359, Springer Singapur. doi:10.1007/978-981-13-6661-1_27
Deep Learning Models for Retinal Blood Vessels Segmentation: A Review
Soomro, T. A.; Afifi, A. J.; Zheng, L.; Soomro, S.; Gao, J.; Hellwich, O.; Paul, M.
2019. IEEE Access, 7, 71696–71717. doi:10.1109/ACCESS.2019.2920616
2018
Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Paul, M.; Zheng, L.
2018. Digital Image Computing: Techniques and Applications (DICTA), Canberra, ACT, Australia, 10-13 December 2018, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2018.8615770
Simultaneous Object Classification and Viewpoint Estimation using Deep Multi-task Convolutional Neural Network
Afifi, A. J.; Hellwich, O.; Soomro, T. A.
2018. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, 177-184, 2018 , Funchal, Madeira, Portugal, 177–184, SciTePress. doi:10.5220/0006544001770184
2017
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network
Soomro, T. A.; Afifi, A. J.; Gao, J.; Hellwich, O.; Khan, M. A. U.; Paul, M.; Zheng, L.
2017. 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, 29 November 2017 - 01 December 2017, Australia, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2017.8227413
2016
Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network
Afifi, A. J.; Hellwich, O.
2016. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, Australia, 30 November 2016 - 02 December 2016, 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2016.7797068
2012
Content-Based Image Retrieval Using Invariant Color and Texture Features
Afifi, A. J.; Ashour, W. M.
2012. International Conference on Digital Image Computing Techniques and Applications (DICTA), 03-05 December 2012, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/DICTA.2012.6411665
Image Retrieval Based on Content Using Color Feature
Afifi, A. J.; Ashour, W. M.
2012. ISRN Computer Graphics, 2012, Artikel-Nr.: 248285. doi:10.5402/2012/248285Full textFull text of the publication as PDF document